GC11I:
Emerging Trends in Environmental Modeling and Its Impact on Agricultural Production Systems and Farming Decisions Posters


Submit an Abstract to this Session


Session ID#: 51148

Session Description:
The ability to model worldwide agricultural production systems requires proper understanding of the environments being used.  The abundance of the environmental datasets in the world is increasing at a rapid pace as well as the access to computation capabilities.  Hence we need  advanced statistical and mathematical models to work at the scale of the data being generated. This session aims to discuss on recent advances on scalable statistical and machine learning models that use environmental data to model agricultural processes and impact farming decisions globally (precision and sustainable agriculture). We also invite research focusing on global environmental data strategies to better support the future of environmental analytics across the world, as well as the state-of-the art of analytic platforms hosting the automatic execution of these models globally.
Primary Convener:  Patricio Salvatore La Rosa, Bayer Crop Science Division, Saint Louis, MO, United States
Convener:  John M Antle, Oregon State University, Applied Economics, Corvallis, OR, United States
Primary Liaison:  Patricio Salvatore La Rosa, Bayer Crop Science Division, Saint Louis, MO, United States
Chairs:  John M Antle, Oregon State University, Applied Economics, Corvallis, OR, United States, Patricio Salvatore La Rosa, Bayer Crop Science Division, Saint Louis, MO, United States and Nilam Kayastha, Bayer Crop Science Division, Saint Louis, MN, United States
OSPA Liaison:  Piyaraj Newton, Bayer Crop Science Division, Saint Louis, MO, United States

Cross-Listed:
  • B - Biogeosciences
  • IN - Earth and Space Science Informatics
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
1926 Geospatial [INFORMATICS]
1942 Machine learning [INFORMATICS]

Abstracts Submitted to this Session:

Environmental modeling for developing and deploying elite seed products globally (412541)
Ross Bricklemyer1, Xiaobo Zhou2, Adam Gold2, Jianjun Ge2, Theodore Lim2 and Wei-ting Liao2, (1)Monsanto Company, Breeding, St. Louis, MO, United States, (2)Monsanto Company, St. Louis, United States
Novel big-data analytics to improve the sustainability of agricultural systems (Invited) (429200)
Bruno Basso, Michigan State University, East Lansing, MI, United States
Using Deep Learning to Model Potential Impacts of Geoengineering via Solar Radiation Management on US Agriculture (360547)
Andrew Crane-Droesch, USDA Washington DC, Washington, DC, United States, Ben Kravitz, Indiana University, Bloomington, United States and John T Abatzoglou, University of California Merced, Merced, United States
Comparison of Leaf-Level Stomatal Conductance for Nine Irrigated Winter Wheat in the NW-Indo Gangetic Plain – a Tool to Guide Farmer’s Choices in Ozone and Climate Change Affected Environments (383215)
Sukhwinder Singh1, Pankaj Kharra1, Mehrban Singh Meena2, Ram Kishore Yadav3 and Baerbel Sinha4, (1)Indian Institute of Science Education and Research Mohali, Department of Earth and Environmental Sciences, Mohali, India, (2)Dr. Bhim Rao Ambedkar University, Agra, Agriculture Sciences, Mohali, India, (3)Indian Institute of Science Education and Research Mohali, Department of Biological Sciences, SAS Nagar, India, (4)Indian Institute of Science Education and Research Mohali, Department of Earth and Environmental Sciences, SAS Nagar, India
Assessment of Triticum aestivum Yield Losses in Punjab and Haryana Using 5 Years of In-situ Ozone Measurements and the DO3SE Model (383221)
Pankaj Kharra1, Sukhwinder Singh1, Mehrban Singh Meena2, Ram Kishore Yadav3 and Baerbel Sinha4, (1)Indian Institute of Science Education and Research Mohali, Department of Earth and Environmental Sciences, Mohali, India, (2)Dr. Bhim Rao Ambedkar University, Agra, Agriculture Sciences, Mohali, India, (3)Indian Institute of Science Education and Research Mohali, Department of Biological Sciences, SAS Nagar, India, (4)Indian Institute of Science Education and Research Mohali, Department of Earth and Environmental Sciences, SAS Nagar, India
Sunflower Growth and Compensatory Root Water Uptake inHeterogeneous Saline Soils (384711)
Guoqing Lei, Wenzhi Zeng, Jiesheng Huang, Yixiao Song and Jiangxu Zhu, Wuhan University, State Key Laboratory of Water Resources and Hydropower Engineering, Wuhan, China

See more of: Global Environmental Change